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Tag: tensorflow

In an image recognition task how to deal with unexpected images [closed]

Closed. This question does not meet Stack Overflow guidelines. It is not currently accepting answers. This question does not appear to be about programming within the scope defined in the help center. Closed 2 years ago. Improve this question I’m trying to develop an image classifier with Keras, I followed the tutorial on the page: https://www.tensorflow.org/tutorials/images/classification?hl=en Still using the flower

Unable to load numpy array into `model.fit`

i’m new to deep learning with Keras, so please inform me if i need to include more data in this post! So currently i have done some image augmentation to my training set for the MNIST dataset i had. So, i referred to this post here and i tried to save my augmented image models into the array. But when

Regarding the accuracy of the Siamese CNN

and the result of training is as follows The model is predicting with good accuracy, when i am comparing two dissimilar images. Further it is predicting really good with same class of images. But when I am comparing Image1 with image1 itself, it is predicting that they are similar only with the probability of 0.5. in other case if I

How to extract validation data from training data

I have following statement I would like to extract from following Dir Data, separate Validation Data Greetings DA Answer in the call to image_dataset_from_directory, set subset=’training for the train dataset and set it to ‘validation’ for the validation set as shown below

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